diff --git a/classifier/embedding_food_classifier_app.py b/classifier/embedding_food_classifier_app.py
index 5d7e3d3..056ab88 100644
--- a/classifier/embedding_food_classifier_app.py
+++ b/classifier/embedding_food_classifier_app.py
@@ -66,15 +66,15 @@ class EmbeddingFoodClassifierApp:
             # model_path = "../model/embedding_20251011_133653/best_embedding_model.pth"
             # model_path = os.path.join(BASE_DIR, "../model/embedding_20251011_133653/best_embedding_model.pth")
             # model_path = os.path.join(BASE_DIR, "../model/ProcessedIngredientRecognition/embedding_20251029_170904/best_embedding_model.pth")
-            # model_path = os.path.join(BASE_DIR, "../model/WholeIngredientRecognition/embedding_20251024_091151/best_embedding_model.pth")
-            model_path = os.path.join(BASE_DIR, "../model/DishClassification/cosface_20251105_200551/best_cosface_model.pth")
+            model_path = os.path.join(BASE_DIR, "../model/WholeIngredientRecognition/cosface_20251106_134718/best_cosface_model.pth")
+            # model_path = os.path.join(BASE_DIR, "../model/DishClassification/cosface_20251105_200551/best_cosface_model.pth")
 
             # FAISS索引目录
             # index_dir = "../faiss_vector_db/faiss_index"
             # index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/faiss_index")
             # index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/ProcessedIngredientRecognition/faiss_index")
-            # index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/WholeIngredientRecognition/faiss_index")
-            index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/DishClassification/faiss_index")
+            index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/WholeIngredientRecognition/faiss_index")
+            # index_dir = os.path.join(BASE_DIR, "../faiss_vector_db/DishClassification/faiss_index")
 
             if os.path.exists(model_path) and os.path.exists(index_dir):
                 # 1. 加载embedding模型
diff --git a/faiss_vector_db/build_faiss_index.py b/faiss_vector_db/build_faiss_index.py
index 4b73f67..676fc45 100644
--- a/faiss_vector_db/build_faiss_index.py
+++ b/faiss_vector_db/build_faiss_index.py
@@ -497,16 +497,16 @@ def main():
     # 配置参数
     # MODEL_PATH = "../model/embedding_20251011_133653/best_embedding_model.pth"
     # MODEL_PATH = "../model/ProcessedIngredientRecognition/embedding_20251103_172012/best_embedding_model.pth"
-    # MODEL_PATH = "../model/WholeIngredientRecognition/embedding_20251030_135024/best_embedding_model.pth"
+    MODEL_PATH = "../model/WholeIngredientRecognition/cosface_20251106_134718/best_cosface_model.pth"
     # MODEL_PATH = "../model/DishClassification/cosface_20251105_200551/best_embedding_model.pth"
-    MODEL_PATH = "../model/DishClassification/cosface_20251105_200551/best_cosface_model.pth"
+    # MODEL_PATH = "../model/DishClassification/cosface_20251105_200551/best_cosface_model.pth"
     # TRAIN_DIR = "../dataset/ProcessedIngredientRecognition/train"
-    # TRAIN_DIR = "../dataset/WholeIngredientRecognition/train"
-    TRAIN_DIR = "../dataset/DishClassification/train"
+    TRAIN_DIR = "../dataset/WholeIngredientRecognition/train"
+    # TRAIN_DIR = "../dataset/DishClassification/train"
 
     # OUTPUT_DIR = "ProcessedIngredientRecognition/faiss_index"
-    # OUTPUT_DIR = "WholeIngredientRecognition/faiss_index"
-    OUTPUT_DIR = "DishClassification/faiss_index"
+    OUTPUT_DIR = "WholeIngredientRecognition/faiss_index"
+    # OUTPUT_DIR = "DishClassification/faiss_index"
     BATCH_SIZE = 16
     INDEX_TYPE = 'flat'  # 'flat', 'ivf', 'hnsw'
     EMBEDDING_DIM = 512
diff --git a/faiss_vector_db/visualize_embeddings.py b/faiss_vector_db/visualize_embeddings.py
index aacfecc..ae6eb9a 100644
--- a/faiss_vector_db/visualize_embeddings.py
+++ b/faiss_vector_db/visualize_embeddings.py
@@ -162,11 +162,11 @@ def plot_2d(Z: np.ndarray, y: np.ndarray, title: str, out_path: Optional[str] =
 
 def main():
     parser = argparse.ArgumentParser(description="可视化高维 embedding 并进行坍塌诊断")
-    parser.add_argument("--embeddings", type=str, default=os.path.join("DishClassification/faiss_index", "embeddings.json"), help="embeddings.json 路径")
-    # parser.add_argument("--embeddings", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "embeddings.json"), help="embeddings.json 路径")
+    # parser.add_argument("--embeddings", type=str, default=os.path.join("DishClassification/faiss_index", "embeddings.json"), help="embeddings.json 路径")
+    parser.add_argument("--embeddings", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "embeddings.json"), help="embeddings.json 路径")
     # parser.add_argument("--embeddings", type=str, default=os.path.join("ProcessedIngredientRecognition/faiss_index", "embeddings.json"), help="embeddings.json 路径")
-    parser.add_argument("--labels", type=str, default=os.path.join("DishClassification/faiss_index", "labels.json"), help="labels.json 路径")
-    # parser.add_argument("--labels", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "labels.json"), help="labels.json 路径")
+    # parser.add_argument("--labels", type=str, default=os.path.join("DishClassification/faiss_index", "labels.json"), help="labels.json 路径")
+    parser.add_argument("--labels", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "labels.json"), help="labels.json 路径")
     # parser.add_argument("--labels", type=str, default=os.path.join("ProcessedIngredientRecognition/faiss_index", "labels.json"), help="labels.json 路径")
     parser.add_argument("--method", type=str, default="pca", choices=["pca", "tsne", "umap"], help="降维方法")
     parser.add_argument("--seed", type=int, default=42)
diff --git a/toAndroid/toAndroidEmbedding.py b/toAndroid/toAndroidEmbedding.py
index bd10210..91f1adf 100644
--- a/toAndroid/toAndroidEmbedding.py
+++ b/toAndroid/toAndroidEmbedding.py
@@ -17,8 +17,8 @@ def main():
     # 1. 加载训练好的embedding模型权重
     # base_model = create_resnet50_embedding(embedding_dim=512, pretrained=True)
     base_model = create_mobile_resnet50_embedding(embedding_dim=512, pretrained=True)
-    model_path = "../model/DishClassification/cosface_20251105_200551/best_cosface_model.pth"
-    # model_path = "../model/WholeIngredientRecognition/embedding_20251030_135024/best_embedding_model.pth"
+    # model_path = "../model/DishClassification/cosface_20251105_200551/best_cosface_model.pth"
+    model_path = "../model/WholeIngredientRecognition/cosface_20251106_134718/best_cosface_model.pth"
     # model_path = "../model/ProcessedIngredientRecognition/embedding_20251029_173607/best_embedding_model.pth"
 
     if not os.path.exists(model_path):
@@ -92,8 +92,8 @@ def main():
         traced_model = torch.jit.trace(mobile_wrapper, single_input)
         
         # 保存模型
-        output_path = "../model/DishClassification/cosface_20251105_200551/best_embedding_model_mobile.pt"
-        # output_path = "../model/WholeIngredientRecognition/embedding_20251030_135024/best_embedding_model_mobile.pt"
+        # output_path = "../model/DishClassification/cosface_20251105_200551/best_embedding_model_mobile.pt"
+        output_path = "../model/WholeIngredientRecognition/cosface_20251106_134718/best_embedding_model_mobile.pt"
         # output_path = "../model/ProcessedIngredientRecognition/embedding_20251029_173607/best_embedding_model_mobile.pt"
         traced_model.save(output_path)
         print(f"✓ TorchScript模型保存成功: {output_path}")
diff --git a/train/train_cosface_embedding.py b/train/train_cosface_embedding.py
index dfe8353..6ab6426 100644
--- a/train/train_cosface_embedding.py
+++ b/train/train_cosface_embedding.py
@@ -347,7 +347,8 @@ def main(task_key: str = 'dish', s: float = 64.0, m: float = 0.35, num_epochs: i
 if __name__ == '__main__':
     import argparse
     parser = argparse.ArgumentParser()
-    parser.add_argument('task', choices=list(TASKS.keys()), nargs='?', default='dish')
+    # parser.add_argument('task', choices=list(TASKS.keys()), nargs='?', default='dish')
+    parser.add_argument('task', choices=list(TASKS.keys()), nargs='?', default='whole_ingredient')
     parser.add_argument('--s', type=float, default=64.0)
     parser.add_argument('--m', type=float, default=0.35)
     parser.add_argument('--epochs', type=int, default=60)